Abstract Granular spacecraft, as a new type of distributed spacecraft system, “are complex multibody systems composed of a spatially disordered distribution of a large number of elements” (Quadrelli et al., 2013), designed and controlled to perform certain desired functions. To achieve the collision-free reconfiguration of granular spacecraft, an optimal reconfiguration algorithm with collision avoidance for a granular spacecraft using laser pressure is presented in this paper. The three-dimensional model of granular spacecraft using laser pressure is established first, and the reconfiguration problem statement is presented. The optimal reconfiguration plan is designed based on optimal transport, and the collision-free trajectories for all the particles are generated based on Voronoi partitioning, with the motion constraints under the control of laser pressure. Finally, the numerical simulations are provided to demonstrate the effectiveness of the proposed reconfiguration algorithm and the feasibility of using laser actuators for the reconfiguration of a granular spacecraft.

    Highlights Three-dimensional model of granular spacecraft using laser pressure is established. Concept of probability distribution density is introduced to evaluate the configuration of granular spacecraft. Optimal reconfiguration plan of granular spacecraft is designed based on optimal transport. Collision-free trajectories for the reconfiguration under laser pressure are generated based on Voronoi partitioning. Required laser intensities are obtained by solving the optimization problem under laser pressure.


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    Titel :

    Optimal reconfiguration with collision avoidance for a granular spacecraft using laser pressure


    Beteiligte:
    Zhang, Kunpeng (Autor:in) / Zhang, Yao (Autor:in)

    Erschienen in:

    Acta Astronautica ; 160 ; 163-174


    Erscheinungsdatum :

    2019-04-08


    Format / Umfang :

    12 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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